Triple
T19772703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hospira |
E474927
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
HSP (historical)
HSP (historical) refers to the former stock ticker symbol for Hospira, a global pharmaceutical and medical device company that was acquired by Pfizer in 2015.
|
E1394943
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: HSP (historical) | Statement: [Hospira, tickerSymbol, HSP (historical)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HSP (historical) Context triple: [Hospira, tickerSymbol, HSP (historical)]
-
A.
HSP
HSP (Headset Profile) is a Bluetooth standard that defines how wireless headsets communicate with devices like phones and computers for basic audio and control functions.
-
B.
Hsp
Hsp is the station code for Haarlem Spaarnwoude railway station in the Netherlands.
-
C.
HIS
HIS is a component of the Solar Wind Analyser instrument suite designed to measure the composition and properties of heavy ions in the solar wind.
-
D.
HSTR
HSTR is the ICAO aircraft type designator assigned to the Hawker Siddeley Trident airliner.
-
E.
HASP
HASP (Houston Automatic Spooling Priority) was an early IBM mainframe job entry and spooling system that managed batch workloads and printer output, serving as a foundation for later systems like JES2.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: HSP (historical) Triple: [Hospira, tickerSymbol, HSP (historical)]
Generated description
HSP (historical) refers to the former stock ticker symbol for Hospira, a global pharmaceutical and medical device company that was acquired by Pfizer in 2015.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HSP (historical) Target entity description: HSP (historical) refers to the former stock ticker symbol for Hospira, a global pharmaceutical and medical device company that was acquired by Pfizer in 2015.
-
A.
HSP
HSP (Headset Profile) is a Bluetooth standard that defines how wireless headsets communicate with devices like phones and computers for basic audio and control functions.
-
B.
Hsp
Hsp is the station code for Haarlem Spaarnwoude railway station in the Netherlands.
-
C.
HIS
HIS is a component of the Solar Wind Analyser instrument suite designed to measure the composition and properties of heavy ions in the solar wind.
-
D.
HSTR
HSTR is the ICAO aircraft type designator assigned to the Hawker Siddeley Trident airliner.
-
E.
HASP
HASP (Houston Automatic Spooling Priority) was an early IBM mainframe job entry and spooling system that managed batch workloads and printer output, serving as a foundation for later systems like JES2.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6535ce4d08190a1dfca2df95a8631 |
completed | April 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07bd74937081908b81d144aa89c5f3 |
completed | May 16, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_6a07be450e608190a008095b0502b2d3 |
completed | May 16, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07bed4c8d8819094fafce7eee69ee7 |
completed | May 16, 2026, 12:48 a.m. |
Created at: April 10, 2026, 1:48 p.m.